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Segment-Based depth estimation in light field using graph cut

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we present a depth-extracting method on the scenes of 4D light fields. The method is based on image segmentation and epipolar plane images. We extract disparity map and reliability map from the original image of 4D light fields. Then this information is applied to image segmentation, in which a large number of planes are produced, so that the disparity map which is consist of pixels can be transferred to the disparity map which is consist of planes. In the resulting optimization problem, graph-cut technique is used to assign a corresponding disparity plane to each segment. Our method is tested on a number of synthetic and real-world examples captured with a light field camera, and compared to ground truth where available. Furthermore, an approach to optimize the method to reduce the running time is also proposed.

Original languageEnglish
Title of host publicationKnowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Proceedings
EditorsZili Zhang, Songmao Zhang, Zili Zhang, Martin Wirsing, Martin Wirsing, Martin Wirsing, Zili Zhang, Songmao Zhang, Songmao Zhang
PublisherSpringer Verlag
Pages248-259
Number of pages12
ISBN (Print)9783319251585, 9783319251585, 9783319251585
DOIs
StatePublished - 2015
Event8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015 - Chongqing, China
Duration: 28 Oct 201530 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9403
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015
Country/TerritoryChina
CityChongqing
Period28/10/1530/10/15

Keywords

  • Depth estimation
  • Graph cuts
  • Imgae segmentation
  • Light fields

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